Mixed (hierachical) Models in R

Novice and advanced R users from all professional groups

• CHF 600.- für Angehörige der UZH/ETH und assoziierter Institute
• CHF 800.- für Alumni der UZH/ETH, Angehörige anderer Universtitäten, Einrichtungen der öffentlichen Hand und non-profit Organisationen
• CHF 1200.- für Firmen

This two-day course will cover a practical introduction and exercises to
fitting and interpreting mixed (hierarchical or multilevel) models in R
using lme4 and other packages:

• Brief repetition of linear, logistic and ordinal regression
• Identifying and visualizing grouped data
• Fitting and interpreting random intercept and slope models
• Testing fixed and random effects, measures of effect size- Checking model assumptions
• Fitting and understanding complex models with three levels or crossed-random effects
• Approaches for non-normal responses (e.g., binary or ordinal)
• Short outlook to generalized additive mixed and growth mixture models

Prerequisites

Basic familiarity with R syntax and some experience with data analysis
in R (loading data, fitting models, using the built-in graphics
functions). Familiarity and some practical experience with regression
modeling.

May 3-4, 2018